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Hello, writers! How about a thread on LITERARY AGENTS? How to get one, how to talk to one, how to keep one happy. Spoiler alert: I am 100% pro agent and can't imagine not having one on my side. 1/

Why would you want a literary agent?
* you want to be traditionally published
* you want someone experienced to help guide your career
* you want to learn how to edit like a pro
* you want to sell foreign and movie rights
* you want answers to your newbie questions 2/

Why you might *NOT* want a literary agent:
* you want to self publish
* you're not willing to compromise on your edits
* you don't think their expertise is worth 15% of your advance
I... can't think this way. Literary agents have been crucial to my career. 3/

So, how do you get a literary agent?
1. Have a finished, revised, edited, polished manuscript.
2. Write a query letter for your book
3. Send your query to agents who rep your genre and are open to submissions
4. Repeat steps 1-4 until you're offered representation. 4/

So, let's go through those four steps. First of all, you must have a finished, revised, edited, polished book, and it must be sellable. That is, you can't sell a 600k picture book or a 40k adult Fantasy, etc. You must read extensively in the genre you're writing. 5/

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.

👇 Thread. New deck getting published this week: "Consumer startups are awesome, and here's what I'm looking to invest in at Andreessen Horowitz." If you want to read it, subscribe to my newsletter here: https://t.co/262t8eh0wf

1/ A lot of new consumer technologies have been introduced to US households in the last 100 years. But it's taken many of them - like the telephone - more than 50 years to get to the majority of the US. Why is that?

2/ We had to literally teach people how to use phone. Which end goes to your mouth, which goes to your ear. Say "hello" when people call. The motivation of consumers to talk to their friends has always been there, but we had to teach the behavior

3/ If you compare phones to the latest technologies, there's been a huge shift. Things are being picked up much faster.

4/ Even while there's been all this innovation recently, physically speaking, we are still the same human beings from 100,000 years ago.